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Finding the k Shortest Paths
, 1997
"... We give algorithms for finding the k shortest paths (not required to be simple) connecting a pair of vertices in a digraph. Our algorithms output an implicit representation of these paths in a digraph with n vertices and m edges, in time O(m + n log n + k). We can also find the k shortest pat ..."
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Cited by 401 (2 self)
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We give algorithms for finding the k shortest paths (not required to be simple) connecting a pair of vertices in a digraph. Our algorithms output an implicit representation of these paths in a digraph with n vertices and m edges, in time O(m + n log n + k). We can also find the k shortest
ShortestPath Kernels on Graphs
 In Proceedings of the 2005 International Conference on Data Mining
, 2005
"... Data mining algorithms are facing the challenge to deal with an increasing number of complex objects. For graph data, a whole toolbox of data mining algorithms becomes available by defining a kernel function on instances of graphs. Graph kernels based on walks, subtrees and cycles in graphs have bee ..."
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Cited by 61 (5 self)
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been proposed so far. As a general problem, these kernels are either computationally expensive or limited in their expressiveness. We try to overcome this problem by defining expressive graph kernels which are based on paths. As the computation of all paths and longest paths in a graph is NPhard, we
Shortestpath network interdiction
 Networks
, 2002
"... We study the problem of interdicting the arcs in anetwork in order to maximize the shortest s–t path length. “Interdiction”isanattackonanarcthatdestroysthearc or increases its effective length; there is alimited interdictionbudget.Weformulatethisbilevel,max–minproblem as amixedinteger program (MIP) ..."
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Cited by 49 (3 self)
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We study the problem of interdicting the arcs in anetwork in order to maximize the shortest s–t path length. “Interdiction”isanattackonanarcthatdestroysthearc or increases its effective length; there is alimited interdictionbudget.Weformulatethisbilevel,max–minproblem as amixedinteger program (MIP
Faster ShortestPath Algorithms for Planar Graphs
 STOC 94
, 1994
"... We give a lineartime algorithm for singlesource shortest paths in planar graphs with nonnegative edgelengths. Our algorithm also yields a lineartime algorithm for maximum flow in a planar graph with the source and sink on the same face. The previous best algorithms for these problems required\O ..."
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Cited by 204 (17 self)
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lengths required \Omega\Gamma n 3=2 ) time. Our shortestpath algorithm yields an O(n 4=3 log n)time algorithm for finding a perfect matching in a planar bipartite graph. A similar improvement is obtained for maximum flow in a directed planar graph.
Incremental ShortestPath Problem
"... The grammar problem, a generalization of the singlesource shortestpath problem introduced by Knuth, is to compute the minimumcost derivation of a terminal string from each nonterminal of a given contextfree grammar, with the cost of a derivation being suitably defined. This problem also subsume ..."
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The grammar problem, a generalization of the singlesource shortestpath problem introduced by Knuth, is to compute the minimumcost derivation of a terminal string from each nonterminal of a given contextfree grammar, with the cost of a derivation being suitably defined. This problem also
An Incremental Algorithm for a Generalization of the ShortestPath Problem
, 1992
"... The grammar problem, a generalization of the singlesource shortestpath problem introduced by Knuth, is to compute the minimumcost derivation of a terminal string from each nonterminal of a given contextfree grammar, with the cost of a derivation being suitably defined. This problem also subsume ..."
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Cited by 144 (1 self)
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The grammar problem, a generalization of the singlesource shortestpath problem introduced by Knuth, is to compute the minimumcost derivation of a terminal string from each nonterminal of a given contextfree grammar, with the cost of a derivation being suitably defined. This problem also
Implementing Parallel ShortestPaths Algorithms
 DIMACS Series in Discrete Mathematics and Theoretical Computer Science
, 1994
"... . We have implemented two parallel versions of the BellmanFordMoore algorithm for the singlesource shortestpaths problem. Our software is written in C and runs on the CM5 parallel supercomputer using CMMD communication primitives. We have compared the performance of our parallel programs with a ..."
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Cited by 8 (0 self)
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of the graphs exceeded 2 5 for the smaller and 2 3 for the larger inputs in our test suite. On dense graphs, we achieved speedups of up to 7.8 on a CM5 with 32 processors. 1. Introduction The shortestpaths problem is a classic combinatorial optimization problem that arises in a wide spectrum
Results 1  10
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165,796